With the growth of tourism industry, demand forecasting has become an important research topic. Recently researches have shown that Google Trends(GT) data with help can positively affect forecast tourist arrivals. However, use this directly cause some errors. This article provides suggestions on how calculation differences according to same time at different intervals in GT (which is obtained h...

Abstract In extraordinary situations, like the Covid-19 pandemic, irregular demand fluctuations can hardly be predicted by traditional forecasting approaches. Even current extent of decline is typically unknown since tourism statistics are only available with a time delay. This study presents an approach to benefit from user generated content (UGC) in form online reviews TripAdvisor as input es...

Purpose: The purpose of this research was to investigate the fluctuations in international tourist arrivals Kenya and identify underlying factors contributing these trends. study aimed gain a deeper understanding impact stochastic events on arrivals.
 Methodology: focused across seven geographical areas. It utilized annual time series data from 1980 2020 examined various variables, includi...